Qwen3.8 27B
Qwen released 2026-08-14 apache-2.0
Gemini 3.7 Flash scores higher and costs less — but you would give something up.
+4 on the capability index and 29% cheaper ($0.750/M against $1.05/M). What you lose:
- 131K → 66K max output
Capability scores do not measure context length, output ceiling or which inputs a model accepts, so a higher score does not mean a drop-in replacement.
Every price dimension
| Input | $0.400/M |
|---|---|
| Output | $3.00/M |
| Cached input | $0.050/M |
Independent scores
| Intelligence | 52 |
|---|---|
| Coding | 68.1 |
| Agentic | 50.9 |
| LMArena Elo | 1440.8default |
Sources are listed separately rather than averaged. Across the 62 models both have scored they correlate at r = 0.806 — close agreement overall, but four models rank very differently between them, and a blended score would hide exactly those.
Capability
| Context window | 1M |
|---|---|
| Max output | 131K |
| Input modes | text, image, video |
| Tool use | yes |
| Reasoning | optional |
| Open weights | yes |
Provenance
| Price source | openrouter.ai |
|---|---|
| Fetched | 2026-08-24 |
| Quality data | verified |
| Cross-checked | vendor page |
Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thinking that can be...